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Institution

International Food Policy Research Institute

NonprofitWashington D.C., District of Columbia, United States
About: International Food Policy Research Institute is a nonprofit organization based out in Washington D.C., District of Columbia, United States. It is known for research contribution in the topics: Food security & Agriculture. The organization has 1217 authors who have published 4952 publications receiving 218436 citations.


Papers
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Journal ArticleDOI
TL;DR: In this article, an integrated modeling framework for sustainable irrigation management analysis is presented and applied to analyze irrigation water management in the Aral Sea region in Central Asia, and alternative futures of the irrigation practice in the region are explored and it is found that to maintain current irrigation practices will lead to worsening environmental and economic consequences.

238 citations

Journal ArticleDOI
TL;DR: In this paper, a large sample of plots from an intensively titled rice-growing area of Madagascar and compares land-specific investments, land productivity, and land values for titled and untitled plots cultivated by the same household.
Abstract: Formalizing land rights has been promoted as a way to encourage agricultural investment and stimulate land markets, yet little is known about the benefits of such policies in Sub-Saharan Africa, where the preconditions for success are less favorable. The analysis uses a large sample of plots from an intensively titled rice-growing area of Madagascar and compares land-specific investments, land productivity, and land values for titled and untitled plots cultivated by the same household. Having a title has no significant effect on plot-specific investment and correspondingly little effect on land productivity and land values. These results are broadly consistent with a simulation of a theoretical model of investment under expropriation risk calibrated to the same data. A cost benefit analysis suggests that the current system of formal titling should not be extended in rural Madagascar and that any new system of land registration will have to be quite inexpensive to be worthwhile.

238 citations

Journal ArticleDOI
TL;DR: In this article, the authors present climate change results and underlying determinants from a model comparison exercise with 10 of the leading global economic models that include significant representation of agriculture, and highlight the need to more fully compare the deep model parameters, to generate a call for a combination of econometric and validation studies to narrow the degree of uncertainty and variability in these parameters and to move to Monte Carlo type simulations to better map the contours of economic uncertainty.

237 citations

Posted ContentDOI
Matteo Dainese1, Emily A. Martin1, Marcelo A. Aizen2, Matthias Albrecht, Ignasi Bartomeus3, Riccardo Bommarco4, Luísa G. Carvalheiro5, Luísa G. Carvalheiro6, Rebecca Chaplin-Kramer7, Vesna Gagic8, Lucas Alejandro Garibaldi9, Jaboury Ghazoul10, Heather Grab11, Mattias Jonsson4, Daniel S. Karp12, Christina M. Kennedy13, David Kleijn14, Claire Kremen15, Douglas A. Landis16, Deborah K. Letourneau17, Lorenzo Marini18, Katja Poveda11, Romina Rader19, Henrik G. Smith20, Teja Tscharntke21, Georg K.S. Andersson20, Isabelle Badenhausser22, Isabelle Badenhausser23, Svenja Baensch21, Antonio Diego M. Bezerra24, Felix J.J.A. Bianchi14, Virginie Boreux10, Vincent Bretagnolle22, Berta Caballero-López, Pablo Cavigliasso25, Aleksandar Ćetković26, Natacha P. Chacoff27, Alice Classen1, Sarah Cusser28, Felipe D. da Silva e Silva29, G. Arjen de Groot14, Jan H. Dudenhöffer30, Johan Ekroos20, Thijs P.M. Fijen14, Pierre Franck23, Breno Magalhães Freitas24, Michael P.D. Garratt31, Claudio Gratton32, Juliana Hipólito9, Andrea Holzschuh1, Lauren Hunt33, Aaron L. Iverson11, Shalene Jha34, Tamar Keasar35, Tania N. Kim36, Miriam Kishinevsky35, Björn K. Klatt21, Björn K. Klatt20, Alexandra-Maria Klein37, Kristin M. Krewenka38, Smitha Krishnan10, Ashley E. Larsen39, Claire Lavigne23, Heidi Liere40, Bea Maas41, Rachel E. Mallinger42, Eliana Martinez Pachon, Alejandra Martínez-Salinas43, Timothy D. Meehan44, Matthew G. E. Mitchell15, Gonzalo Alberto Roman Molina45, Maike Nesper10, Lovisa Nilsson20, Megan E. O'Rourke46, Marcell K. Peters1, Milan Plećaš26, Simon G. Potts31, Davi de L. Ramos29, Jay A. Rosenheim17, Maj Rundlöf20, Adrien Rusch47, Agustín Sáez2, Jeroen Scheper14, Matthias Schleuning, Julia Schmack48, Amber R. Sciligo17, Colleen L. Seymour, Dara A. Stanley49, Rebecca Stewart20, Jane C. Stout50, Louis Sutter, Mayura B. Takada51, Hisatomo Taki, Giovanni Tamburini4, Matthias Tschumi, Blandina Felipe Viana52, Catrin Westphal21, Bryony K. Willcox19, Stephen D. Wratten53, Akira Yoshioka54, Carlos Zaragoza-Trello3, Wei Zhang55, Yi Zou56, Ingolf Steffan-Dewenter1 
University of Würzburg1, National University of Comahue2, Spanish National Research Council3, Swedish University of Agricultural Sciences4, Universidade Federal de Goiás5, University of Lisbon6, Stanford University7, Commonwealth Scientific and Industrial Research Organisation8, National University of Río Negro9, ETH Zurich10, Cornell University11, University of California, Davis12, The Nature Conservancy13, Wageningen University and Research Centre14, University of British Columbia15, Great Lakes Bioenergy Research Center16, University of California, Berkeley17, University of Padua18, University of New England (United States)19, Lund University20, University of Göttingen21, University of La Rochelle22, Institut national de la recherche agronomique23, Federal University of Ceará24, Concordia University Wisconsin25, University of Belgrade26, National University of Tucumán27, Michigan State University28, University of Brasília29, University of Greenwich30, University of Reading31, University of Wisconsin-Madison32, Boise State University33, University of Texas at Austin34, University of Haifa35, Kansas State University36, University of Freiburg37, University of Hamburg38, University of California, Santa Barbara39, Seattle University40, University of Vienna41, University of Florida42, Centro Agronómico Tropical de Investigación y Enseñanza43, National Audubon Society44, University of Buenos Aires45, Virginia Tech46, University of Bordeaux47, University of Auckland48, University College Dublin49, Trinity College, Dublin50, University of Tokyo51, Federal University of Bahia52, Lincoln University (Pennsylvania)53, National Institute for Environmental Studies54, International Food Policy Research Institute55, Xi'an Jiaotong-Liverpool University56
20 Feb 2019-bioRxiv
TL;DR: Using a global database from 89 crop systems, the relative importance of abundance and species richness for pollination, biological pest control and final yields in the context of on-going land-use change is partitioned.
Abstract: Human land use threatens global biodiversity and compromises multiple ecosystem functions critical to food production. Whether crop yield-related ecosystem services can be maintained by few abundant species or rely on high richness remains unclear. Using a global database from 89 crop systems, we partition the relative importance of abundance and species richness for pollination, biological pest control and final yields in the context of on-going land-use change. Pollinator and enemy richness directly supported ecosystem services independent of abundance. Up to 50% of the negative effects of landscape simplification on ecosystem services was due to richness losses of service-providing organisms, with negative consequences for crop yields. Maintaining the biodiversity of ecosystem service providers is therefore vital to sustain the flow of key agroecosystem benefits to society.

237 citations

Journal ArticleDOI
TL;DR: In this article, a newly constructed comprehensive database of 122 targeted antipoverty interventions in 48 countries is used to examine the contested issue of the efficacy of targeting interventions in developing countries, and the results show that targeting is better in richer countries, where governments are more likely to be held accountable, and in countries where inequality is higher.
Abstract: A newly constructed comprehensive database of 122 targeted antipoverty interventions in 48 countries is used to examine the contested issue of the efficacy of targeting interventions in developing countries. Though the median program transfers 25 percent more to poor individuals (those in the bottom two quintiles) than would universal allocation, a quarter of the interventions are regressive. Targeting is better in richer countries, in countries where governments are more likely to be held accountable, and in countries where inequality is higher. Interventions that use means testing, geographic targeting, and self- selection based on a work requirement are all associated with an increased share of benefits going to poor people. Proxy- means testing, community- based selection, and demographic targeting to children show good results on average but with wide variation. Self- selection based on consumption, demographic targeting to the elderly and community bidding show limited potential for good targeting. The substantial variation in targeting performance within specific program, types and specific targeting methods suggests that differences in implementation are also important factors in determining the success of targeting to poor individuals.

236 citations


Authors

Showing all 1269 results

NameH-indexPapersCitations
Michael B. Zimmermann8343723563
Kenneth H. Brown7935323199
Thomas Reardon7928525458
Marie T. Ruel7730022862
John Hoddinott7535721372
Mark W. Rosegrant7331522194
Agnes R. Quisumbing7231118433
Johan F.M. Swinnen7057020039
Stefan Dercon6925917696
Jikun Huang6943018496
Gregory J. Seymour6638517744
Lawrence Haddad6524324931
Rebecca J. Stoltzfus6122413711
Ravi Kanbur6149819422
Ruth Meinzen-Dick6123713707
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202321
202267
2021351
2020330
2019367
2018272